Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30364
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dc.contributor.authorVANHEUSDEN, Sarah-
dc.contributor.authorVAN GILS, Teun-
dc.contributor.authorCARIS, An-
dc.contributor.authorRAMAEKERS, Katrien-
dc.contributor.authorBRAEKERS, Kris-
dc.date.accessioned2020-01-22T09:30:27Z-
dc.date.available2020-01-22T09:30:27Z-
dc.date.issued2020-
dc.date.submitted2020-01-21T20:05:41Z-
dc.identifier.citationComputers and Industrial Engineering, 141 (Art N° 106269)-
dc.identifier.issn0360-8352-
dc.identifier.urihttp://hdl.handle.net/1942/30364-
dc.description.abstractA growing e-commerce market and increasing customer requirements put extra pressure on order picking operations. Collecting large quantities of relative small orders within limited time windows makes workload balancing in order picking a challenging and complicated task. Therefore, warehouse managers experience difficulties in balancing the daily workload of order pickers in every pick zone. This paper introduces the operational workload balancing problem within the domain of order picking. A mathematical model is introduced to describe the new order picking planning problem. Furthermore, an iterated local search algorithm is developed to solve the operational workload balancing problem efficiently and effectively. The benefits of daily workload balancing in order picking operations are analysed by means of a real-life case.-
dc.description.sponsorshipThis work is supported by the Strategic Basic Research project Datadriven logistics (S007318N), funded by the Research Foundation Flanders (FWO). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government department EWI.-
dc.language.isoen-
dc.publisherElsevier-
dc.rights2020 Published by Elsevier Ltd.-
dc.subject.otherwarehouse management-
dc.subject.otherworkload balancing-
dc.subject.otherzone picking-
dc.subject.othermeta-heuristic-
dc.titleOperational Workload Balancing in Manual Order Picking-
dc.typeJournal Contribution-
dc.identifier.volume141-
local.format.pages16-
local.bibliographicCitation.jcatA1-
local.publisher.placeTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr106269-
local.type.programmeVSC-
dc.identifier.doi10.1016/j.cie.2020.106269-
dc.identifier.isiWOS:000517654200015-
dc.identifier.eissn1879-0550-
local.provider.typeCrossRef-
local.uhasselt.uhpubyes-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.contributorVANHEUSDEN, Sarah-
item.contributorVAN GILS, Teun-
item.contributorCARIS, An-
item.contributorRAMAEKERS, Katrien-
item.contributorBRAEKERS, Kris-
item.fullcitationVANHEUSDEN, Sarah; VAN GILS, Teun; CARIS, An; RAMAEKERS, Katrien & BRAEKERS, Kris (2020) Operational Workload Balancing in Manual Order Picking. In: Computers and Industrial Engineering, 141 (Art N° 106269).-
item.accessRightsOpen Access-
item.validationecoom 2021-
crisitem.journal.issn0360-8352-
crisitem.journal.eissn1879-0550-
Appears in Collections:Research publications
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